Gigabyte GeForce RTX 4060 Ti AERO OC 8GB GDDR6

Brand: Gigabyte | Category: GPUs

SKU: GV-N406TAERO-OC-8GD | Part #: GV-N406TAERO-OC-8GD | MPN: GV-N406TAERO-OC-8GD

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The Gigabyte GeForce RTX 4060 Ti AERO OC (part number GV-N406TAERO-OC-8GD) is a compact, power-efficient GPU accelerator purpose-built for AI inference, machine learning workloads, and professional compute environments where thermal management and space constraints matter. Built on NVIDIA's Ada Lovelace architecture (AD106 chip), this 8GB GDDR6 card delivers 4,352 CUDA cores, 136 Tensor cores, and 34 RT cores in a single-slot, 160W form factor—making it ideal for dense multi-GPU deployments in data centres, edge computing hubs, and enterprise labs across the GCC and broader Asia-Pacific region. With PCIe 4.0 support, a 128-bit memory bus, and factory-tuned boost clocks to 2535 MHz, the RTX 4060 Ti AERO OC balances throughput and thermal footprint for inference pipelines, real-time analytics, and professional visualization tasks where high power draw and cooling complexity are undesirable.

Key Features

• CUDA Core Count: 4,352 cores optimized for parallel compute, machine learning libraries (CUDA, cuDNN, TensorRT), and mixed-precision inference workloads.
• Tensor Acceleration: 136 Tensor cores deliver up to 4× throughput for bfloat16 and FP8 operations, critical for large language models and neural network inference at scale.
• Memory Configuration: 8GB GDDR6 with 128-bit bus width supports batch inference and moderate-scale AI model weights without requiring memory pooling or model sharding.
• Ray Tracing & Real-Time Graphics: 34 RT cores enable concurrent rendering and ray-traced visualization tasks in professional CAD, VFX, and simulation workflows.
• Power Efficiency: 160W TDP allows for dense multi-card chassis configurations in standard 2U/3U server form factors without proportional increases to power supply capacity or cooling overhead.
• Connectivity: PCIe 4.0 x16 interface ensures full bandwidth for GPU-to-CPU and GPU-to-network I/O; 3× DisplayPort 1.4a and 1× HDMI 2.1a support multi-monitor professional setups and remote display over IP networks.
• Single-Slot Design: Compact cooler footprint allows deployment in space-constrained blade servers, modular GPU clusters, and edge appliances without requiring server reconfiguration.
• Boost Clock: Factory-tuned to 2535 MHz, delivering consistent single-precision floating-point performance for inference and analytics without requiring manual tuning or liquid cooling.

Typical Use Cases

• AI Model Inference at Scale: Multi-card GPU clusters for real-time inference serving (LLMs, computer vision, NLP), where 8GB VRAM per card and low per-unit TDP enable cost-effective horizontal scaling in data-centre racks.
• Machine Learning Feature Engineering: Accelerating ETL pipelines and feature transformation in data lakes; CUDA and Tensor cores execute vectorized operations on large tabular datasets faster than CPU-only workflows.
• Professional Visualization & CAD Rendering: Real-time ray tracing and NVIDIA RTX driver support for Autodesk, Dassault, Siemens, and Blender workloads in design and simulation labs; multiple display outputs enable multi-monitor analyst workstations.
• Edge AI Deployment: Embedded inference appliances, autonomous vehicle telemetry processing, and IoT gateway acceleration where power budget and thermal constraints rule out larger GPU SKUs.
• Financial Services & Analytics: GPU-accelerated risk modelling, portfolio backtesting, and algorithmic trading systems; Tensor cores handle matrix operations and correlation analysis more efficiently than CPU alternatives.
• Hyperscale Cloud & Edge Operator Infrastructure: Shared GPU pools for multi-tenant inference services and containerized workloads (Kubernetes GPU scheduling); low power draw and single-slot design simplify fleet orchestration and reduce operational cost-per-inference.

The Gigabyte RTX 4060 Ti AERO OC stands out for combining genuine data-centre-grade power efficiency with professional-class AI acceleration—160W TDP and compact form factor eliminate the thermal and infrastructure penalties of larger cards, while 4,352 CUDA cores and 136 Tensor cores deliver meaningful throughput for inference and analytics. Omnixon Global stocks and can source this SKU for immediate deployment across UAE, GCC, and regional data-centre customers. For specifications, configuration guidance, volume pricing, or integration with your existing infrastructure, contact our technical sales team or request a formal quotation.

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